A review of attribute disclosure control

Stan Matwin, Jordi Nin, Morvarid Sehatkar, Tomasz Szapiro

Producció científica: Article en revista indexadaArticle de revisió (sistemàtica)Avaluat per experts

11 Cites (Scopus)

Resum

Attribute disclosure occurs when the adversary can infer some sensitive information about an individual without identifying individual’s record in the published data set. To address this issue several privacy models were proposed with the goal of increasing the uncertainty of the adversary in deriving sensitive information from published data. In this chapter, firstly we review the underlying scenario used in statistical disclosure control (SDC) and Privacy-Preserving Data Mining (PPDM). In this chapter, we describe the attribute disclosure underlying scenario, the different forms of background knowledge of the adversary the adversary may have and their potential privacy attacks. then, we review the approaches introduced in the literature to tackle attribute disclosure attacks.

Idioma originalAnglès
Pàgines (de-a)41-61
Nombre de pàgines21
RevistaStudies in Computational Intelligence
Volum567
DOIs
Estat de la publicacióPublicada - 2015
Publicat externament

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